Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
Querying local SQLite index...
youtube-viral-optimizer
by infranodusGenerate high-CTR YouTube thumbnails, titles, and video scripts optimized for virality. Use when the user asks to create YouTube video titles, thumbnail text/concepts, video scripts, optimize existing titles for CTR, analyze why a video isn't performing, or needs help making content more clickable. Covers thumbnail wording, title copywriting, video script structuring (Pattern Interrupt → Hook → Framing → Curiosity Loop → Escalation → Payoff → Relevance Bridge → Loop Reopen), and YouTube algorithm optimization.
shopping-assistant
by infranodusAn intelligent shopping research assistant that helps users find the best product to buy through systematic comparison, review analysis, and value assessment. Use this skill whenever the user wants to buy something, is comparing products, asks "what should I buy", "help me choose", "best X for Y", mentions shopping, purchasing decisions, product comparisons, or needs help deciding between options. Also trigger when users mention wanting to research a product category, check reviews, or find the best deal. This skill uses web search extensively to gather real product data, ratings, reviews, and prices.
critical-perspective
by infranodusEngage in critical thinking by questioning assumptions, exploring alternative perspectives, and uncovering latent topics in conversations. Use when discussions could benefit from deeper exploration, when identifying blind spots, or when broadening understanding through respectful challenge and curiosity-driven inquiry.
perspective-reversal
by infranodusFlip any conflict, negotiation, or difficult situation to the opponent's perspective to extract superior tactical advice. Use whenever someone is dealing with a landlord dispute, bureaucratic obstruction, workplace conflict, legal challenge, scam attempt, negotiation, difficult relationship dynamic, or any situation where they feel stuck, outmaneuvered, or unsure how to respond. Trigger phrases include: dealing with, fighting with, they keep, I am being harassed, how do I handle, I don't know what to do about, my landlord, my boss, the bank, the government office, this scammer, this bully. Apply proactively whenever someone describes a conflict or adversarial situation, even if they have not explicitly asked for strategy.
embodied-navigation
by infranodusTransfer embodied movement principles (Vipassana equanimous scanning, Systema adaptive fluidity, contemporary dance tensegrity, EightOS confluence) to navigate work, relationships, projects, strategy, and everyday situations. Uses InfraNodus MCP tools to map situations as networks and apply body-informed intelligence to their structure. Trigger when someone is stuck, in conflict, negotiating, blocked, fixated, overwhelmed, or facing rigidity — or asks for "embodied advice", "fluid approach", "organic strategy", "adaptive strategy", "how would the body handle this". Also trigger on phrases like "I'm stuck", "standoff", "tense situation", "can't move forward". Apply proactively when situations exhibit excessive force, single-point fixation, or neglect of peripheral dynamics.
vipassana-llm
by infranodusApply Vipassana meditation principles to LLM processing — equanimous scanning, non-reactive observation, impermanence awareness (anicca), and breaking the sankhara chain of conditioned reactions. Trigger on "meditate on", "observe without reacting", "see clearly", "practice vipassana", "scan equanimously", "what's really going on here", "non-reactive analysis", "observe without judgment". Also trigger when the user wants bare attention rather than jumping to conclusions, wants to dissolve fixation loops, or asks Claude to apply contemplative processing. Apply proactively when conversations show reactive thinking, craving for particular outcomes, or aversion to uncomfortable truths. Synergizes with cognitive-variability, embodied-navigation, and shifting-perspective skills.
cognitive-variability
by infranodusGuide conversations through dynamic shifts between zoom levels (scale) and connecting/exploring (intent) to unlock creative breakthroughs and prevent rigid thinking. Helps enhance and develop biased, focused, diversified, dispersed states. Receives signals from writing assistant's pattern detection to diagnose cognitive states. Identifies structural gaps between idea clusters as spaces for innovation. Tracks temporal dwelling patterns and manages energy across personality modes. Uses playfulness for difficult transitions from chaos to clarity. Reads emotional feedback—inspiration signals continuation, exhaustion/frustration trigger transitions. Prevents obsessive loops through sustainable cycling through topical clusters and latent nodes. Maximum creative potential lives in gaps and dissipative states. Apply for complex analysis, when a user is stuck, breakthroughs, decision paralysis, group facilitation, breaking repetitive patterns, or when grammatical patterns reveal cognitive issues.
rhetorical-analyst
by infranodusAnalyze arguments, debate tactics, and rhetorical moves across three dimensions: persuasion, rhetoric, and logic. Use when the user wants to analyze a debate, comment thread, speech, article, or any argumentative text — identifying moves, scoring effectiveness, exposing hidden assumptions, tracking logical gaps, and checking for asymmetric standards. When InfraNodus MCP tools are available, ALWAYS begin with generate_topical_clusters, generate_content_gaps, and optimize_text_structure before linear reading. Also use to stress-test arguments or understand why something feels persuasive but wrong. Trigger on: "analyze this argument", "what's wrong with this reasoning", "is this a good point", "what rhetorical moves are being used", "why is this persuasive", "break down this debate", or when a user shares text asking what's going on rhetorically.
shifting-perspective
by infranodusAnalyze discourse structure using InfraNodus optimize_text_structure tool and shift perspective based on diversity score. Use when a conversation, text, URL, or YouTube video would benefit from additional viewpoints, when the user feels stuck in one frame of thinking, when research needs broadening, when analyzing any text for structural balance, or when the user asks to "shift perspective", "broaden the view", "what am I missing", "analyze the structure", "check for bias", "develop this further", or "give me a different angle". Also trigger when the user provides a text or URL and asks for critical analysis, development suggestions, or wants to understand what perspectives are underrepresented. Works hand-in-hand with cognitive-variability skill for state-based interventions after structural diagnosis.
llm-wiki
by infranodusGuide users through setting up a personal LLM-maintained wiki — a persistent, compounding knowledge base where the LLM incrementally builds and maintains interlinked markdown pages from raw sources. Use this skill when the user wants to: set up a personal knowledge base, create a research wiki, organize notes with LLM help, build a "second brain", set up an Obsidian + LLM workflow, create a persistent knowledge graph from documents, plan research priorities and next steps, or mentions "LLM wiki". This skill asks questions to understand the user's domain and goals, then scaffolds the entire wiki structure, schema, and workflows tailored to their needs. It also helps plan ongoing research by analyzing knowledge gaps and creating actionable todo lists.
writing-assistant
by infranodusRefine texts in any language: perfect grammar and spelling, paraphrase ideas, avoid AI detection while maintaining authentic voice. Detects grammatical patterns that signal cognitive states or structural issues—acting as a sensory system for deeper strategic insights.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.